uTECH: Machine Learning for HIV Prevention Among Substance Using GBMSM

Category Primary study
Registry of Trialsclinicaltrials.gov
Year 2020
This project seeks to develop and test the acceptability, appropriateness and feasibility of uTECH, a novel social media \"big data\" machine learning intervention for HIV-negative substance-using sexual and gender minority people who have sex with men that aims to reduce HIV transmission risk by integrating biomedical and behavioral risk reduction strategies, including pre-exposure prophylaxis (PrEP) for HIV prevention and medication assisted treatment (MAT) for substance use harm reduction
Epistemonikos ID: d4cffb50d86eba5df6df1d2b696685cefb74ba29
First added on: May 08, 2024